Commit Offshore

We are building an enterprise delivery engine that combines product thinking, engineering excellence and scalable execution to turn business priorities into measurable outcomes across data, digital automation and applied AI. Operating as a 200+ engineer delivery factory, we industrialize the journey from idea to production while maintaining internal ownership, enterprise architecture, security and quality standards. We are looking for an Agentic SDLC Project Manager in Zagreb to join us on this journey.

Key responsibilities:

• Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling.
• Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations.
• Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes.
• Coordinate cross-functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering.
• Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams.
• Establish governance and quality gates covering human oversight, security, responsible AI, traceability and production readiness.
• Drive pilots, adoption and stakeholder communication, using feedback and delivery insights to improve the roadmap and reusable patterns
  
  Must-have skills & experience:
• 5+ years managing complex technology projects or programs involving software development, AI, data, automation or digital products.
• Working knowledge of generative AI, AI agents and agentic workflows, including orchestration, tool integration, evaluation and human oversight.
• Product management or product delivery experience, including discovery, roadmap definition, backlog prioritization and outcome measurement.
• Expert-level Jira proficiency, including workflow and board configuration, backlog and release management, dashboards, automation and delivery metrics.
• Deep understanding of end-to-end SDLC processes, roles, controls and engineering practices.
• Proven ability to lead global, cross-functional teams and manage scope, resources, risks, dependencies, vendors and senior stakeholder expectations.

• Strong command of Agile and hybrid delivery methods, with excellent analytical, facilitation, negotiation and problem-solving skills.

  
  Nice to have:

• Hands-on experience delivering AI agents, copilots, developer productivity solutions or intelligent automation.
• Experience with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot or Microsoft Power Platform.
• Proficiency with Azure DevOps, Confluence, GitHub or comparable product and engineering delivery tools.
• Experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation or regulated environments.
• Project management, product management or Agile certification, such as PMP, PRINCE2, CSPO, CSM, PSM or SAFe.
• Bachelor's degree in Information Systems, Computer Science, Engineering or a related field.

Role Overview:
 

We are seeking a highly experienced Senior Node.js Engineer to join our growing engineering team. As a senior member of our team, you will take on a leadership role in designing, implementing, and scaling highly performant systems. You will work with cloud infrastructure, primarily AWS, and build robust microservices, Big Data processing services, and data platforms that support high-load, real-time applications.

You will be responsible for architecting complex systems, ensuring scalability and efficiency while also providing mentorship to junior developers. This is an exciting opportunity for a self-driven, technically versatile engineer who is comfortable working independently and thrives in a fast-paced, collaborative environment.
 

Requirements:
 

● 4+ years of Back end development

● In-depth knowledge and experience developing API’s and microservices

● Strong proficiency with JavaScript, and Knowledge of Node.js and frameworks available for it (such as Express or equivalent)

● Understanding the nature of asynchronous programming and its quirks and workarounds

● Understanding fundamental design principles behind a scalable application

● Experience working with various data storage solutions such as Redis, MongoDB, etc.

● Experience working with Queuing solutions such as gearman, RabbitMQ, SQS, etc.

● Implementing automated testing modules and unit tests

● Proficient understanding of code versioning tools, such as Git

● Experience with cloud services such as AWS and GCP

● Experience working with Linux

● Experience with CI/CD processes

● Bonus - Familiarity with K8S, and related frameworks such as helm, Argo-cd, Prometheus, etc.

Important: Only Full-Stack Engineers with strong hands-on experience in Angular and .NET will be considered. Candidates with other technology stacks are not relevant for this position.

About the Team

You will join an international Ukrainian–Israeli development team working on a data-driven product in the sports betting domain (African market), with future plans to expand into banking solutions.

Project Overview

The product collects and aggregates sports event data from multiple sources, analyzes client behavior, and distributes processed data to end users. The project is actively evolving, with a strong focus on automation and AI-driven decision-making.

Role Purpose

Both frontend and backend experience are highly important for this role.

Responsibilities

• Develop and maintain backend and frontend services using .NET 5/Angluar 16
• Develop system integrations with third party providers (SMS. email, payment systems)
• Work with MS SQL databases (data modeling, performance optimization, changes management)
• Experience with Agentic.ai
• Participate in system architecture discussions and technical decisions
• Collaborate closely with the Team Lead and development team
• Take ownership of assigned components and ensure their stability in production
• Participate in estimation, planning, and Jira-based workflows
• Be available for paid on-call duty on weekends (emergency response within 1 hour, approximately 1-2 per month)

Technical Requirements

Must-have

• Angular 16
• Ionic
• .NET 5
• MS SQL
• understanding of backend architecture and data flows
• Experience working in production systems
• English B2+
  • Experience with Claude and agentic development

Nice-to-have

• RabbitMQ
• AWS
• Python

Soft Skills

• Fast learner, flexible, able to work in a fast-paced environment
• Strong sense of ownership and responsibility
• Attention to detail
• Clear and effective communication
• Team-oriented and humble mindset

We are looking for a talented Backend Engineer to help build the infrastructure that secures the world’s software supply chains.

You’ll work alongside top-tier engineers to design and deliver high-performance, secure, and scalable systems. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex technical challenges, and wants to build products that make a meaningful impact.
 

Responsibilities

• Design, develop, and maintain scalable and reliable backend services and APIs.
• Build high-performance systems capable of handling large volumes of data and traffic.
• Develop and improve backend infrastructure using Node.js.
• Work with both SQL and NoSQL databases, including data modeling and performance optimization.
• Design and implement solutions within a microservices architecture.
• Build and maintain cloud-based services and infrastructure.
• Collaborate closely with product, engineering, and other cross-functional teams to deliver new features.
• Troubleshoot, debug, and resolve complex production issues.
• Improve system performance, reliability, scalability, and security.
• Participate in code reviews and contribute to engineering best practices.
• Write clean, maintainable, well-tested, and documented code.
• Work closely with customers and internal stakeholders to understand technical requirements and translate them into effective solutions.

What We’re Looking For

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 2–4 years of experience in backend development, with a focus on building scalable applications and services.
• Strong proficiency in Node.js.
• Hands-on experience with database technologies, including both SQL and NoSQL databases.
• Familiarity with cloud services and microservices architecture.
• Experience working directly with customers or within a product-focused company/environment.
• Excellent problem-solving and analytical skills.
• Strong commitment to writing clean, maintainable, and high-quality code.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We are looking for Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.

Key Responsibilities:

• Design and develop scalable data solutions on GCP.
• Lead the technical design and implementation of customer data projects.
• Understand business and technical requirements and translate them into effective data architectures.
• Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
• Design data models and integration processes for Batch and real-time workloads.
• Work with structured, semi-structured, and unstructured data.
• Select the appropriate technologies based on performance, scalability, security, and cost requirements.
• Implement data quality, monitoring, governance, and orchestration processes.
• Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.
• Participate in the development of analytics, AI, and ML solutions where relevant.
  
  Requirements:
• At least 5 years of professional experience as a Data Engineer – mandatory.
• Proven hands-on experience developing data solutions on GCP – mandatory.
• Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.
• Experience with data modeling, orchestration, performance optimization, and large-scale data processing.
• Strong Python development skills, including building data pipelines and ETL/ELT processes.
• High proficiency in SQL – mandatory.
• Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions.
• Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.
• Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to learn new technologies independently and work across multiple projects.
• Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions
• Fluent English.
  
  Advantages
• Hands-on experience with AWS or Microsoft Azure data services.
• Experience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.
• Experience with real-time data processing and streaming architectures.
• Experience with Kafka or other event-driven platforms.
• Knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.
• Relevant GCP professional certifications.
• Previous experience working in consulting or customer-facing technology projects.

This is a high-impact, hands-on leadership role where you will combine strong backend engineering expertise with technical leadership and people development.

We’re looking for someone who is technically strong, hands-on, AI-driven, and passionate about developing people while building scalable and reliable systems.

What We’re Looking For

• 6+ years of hands-on software development experience
• 3–5 years of experience in a technical leadership or Team Lead role
• Deep hands-on expertise with Node.js — must-have
• Strong experience with AWS — must-have
• Experience with React — preferred
• Experience with Python — advantage
• Experience working with MongoDB
• Strong experience designing and building scalable backend systems
• Proven experience managing technical execution across multiple workstreams
• Strong understanding of software architecture, scalability, reliability, and clean code principles
• Experience delivering end-to-end features and projects from design through production
• Experience working in a fast-paced product environment
• Strong ownership mindset and ability to make technical decisions independently
• Strong communication and interpersonal skills
• Experience leading or collaborating with global or distributed teams
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
• Experience participating in customer-facing technical discussions

- Only specialists with proven engineering leadership experience will be considered.

What You’ll Be Doing

Leadership & Sprint Execution

• Own Team Execution: Lead the team across multiple workstreams, ensuring high-quality delivery and strong execution throughout every sprint.
• Drive Sprint Planning: Own the sprint planning process, including prioritization, capacity planning, and alignment on sprint goals and deliverables.
• Cross-Team Coordination: Act as the primary bridge between your team and other departments, proactively removing blockers and managing cross-team dependencies.
• Develop the Team: Improve team velocity and individual capabilities through ongoing coaching, mentoring, feedback, and identification of skill gaps.

Technical Excellence & Design

• Own Technical Design: Lead the technical design of features and solutions, ensuring they are scalable, reliable, maintainable, and built according to strong engineering standards.
• Stay Hands-On: Lead by example through active participation in high-scale, cloud-based development using technologies such as Node.js, AWS, and MongoDB.
• Drive Code Quality: Conduct thorough code reviews and promote best practices around architecture, maintainability, performance, and engineering quality.
• Partner with Product: Work closely with Product Managers to shape features from initial concept and technical design through development, release, and production.

Customer-Facing & Domain Ownership

• Engage with Customers: Participate in technical sessions with customers, helping address technical requirements, challenges, integrations, and product-related discussions.
• Own Your Domain: Serve as the technical focal point for your domain and manage communication with OX’s internal Customer Success teams.
• Shape Product Enhancements: Lead technical discussions and decision-making related to product improvements, new capabilities, and feature planning.

AI-First & Performance Mentality

• Drive an AI-First Culture: Integrate AI tools and workflows into the daily development lifecycle, including AI-assisted coding, automated testing, prompt-driven prototyping, and other productivity-enhancing practices.
• Improve Efficiency & Quality: Promote a strong “Get Things Done” culture where speed does not come at the expense of stability, scalability, or quality.
• Use Modern Engineering Tools: Ensure the team continuously adopts the best available technologies, tools, and development practices to improve productivity and overall engineering performance.

About the Role

This is a high-impact, hands-on leadership role where you will combine strong backend engineering expertise with technical leadership and people development.

You will work closely with Engineering, Product, Customer Success, and customers, owning execution across multiple workstreams and helping shape technical decisions from initial design through production.

We’re looking for someone who is technically strong, hands-on, AI-driven, and passionate about developing people while building scalable and reliable systems.

What We’re Looking For

• 6+ years of hands-on software development experience
• 3–5 years of experience in a technical leadership or Team Lead role
• Deep hands-on expertise with Node.js — must-have
• Strong experience with AWS — must-have
• Experience with React — preferred
• Experience with Python — advantage
• Experience working with MongoDB
• Strong experience designing and building scalable backend systems
• Proven experience managing technical execution across multiple workstreams
• Strong understanding of software architecture, scalability, reliability, and clean code principles
• Experience delivering end-to-end features and projects from design through production
• Experience working in a fast-paced product environment
• Strong ownership mindset and ability to make technical decisions independently
• Strong communication and interpersonal skills
• Experience leading or collaborating with global or distributed teams
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
• Experience participating in customer-facing technical discussions

What You’ll Be Doing

Leadership & Sprint Execution

• Own Team Execution: Lead the team across multiple workstreams, ensuring high-quality delivery and strong execution throughout every sprint.
• Drive Sprint Planning: Own the sprint planning process, including prioritization, capacity planning, and alignment on sprint goals and deliverables.
• Cross-Team Coordination: Act as the primary bridge between your team and other departments, proactively removing blockers and managing cross-team dependencies.
• Develop the Team: Improve team velocity and individual capabilities through ongoing coaching, mentoring, feedback, and identification of skill gaps.

Technical Excellence & Design

• Own Technical Design: Lead the technical design of features and solutions, ensuring they are scalable, reliable, maintainable, and built according to strong engineering standards.
• Stay Hands-On: Lead by example through active participation in high-scale, cloud-based development using technologies such as Node.js, AWS, and MongoDB.
• Drive Code Quality: Conduct thorough code reviews and promote best practices around architecture, maintainability, performance, and engineering quality.
• Partner with Product: Work closely with Product Managers to shape features from initial concept and technical design through development, release, and production.

Customer-Facing & Domain Ownership

• Engage with Customers: Participate in technical sessions with customers, helping address technical requirements, challenges, integrations, and product-related discussions.
• Own Your Domain: Serve as the technical focal point for your domain and manage communication with OX’s internal Customer Success teams.
• Shape Product Enhancements: Lead technical discussions and decision-making related to product improvements, new capabilities, and feature planning.

AI-First & Performance Mentality

• Drive an AI-First Culture: Integrate AI tools and workflows into the daily development lifecycle, including AI-assisted coding, automated testing, prompt-driven prototyping, and other productivity-enhancing practices.
• Improve Efficiency & Quality: Promote a strong “Get Things Done” culture where speed does not come at the expense of stability, scalability, or quality.
• Use Modern Engineering Tools: Ensure the team continuously adopts the best available technologies, tools, and development practices to improve productivity and overall engineering performance.

The role

Principal DevOps Engineer to design and build the AWS infrastructure and delivery platform the new gaming platform will run on. Greenfield: define the cloud foundation — account structure, networking, Kubernetes platform, CI/CD, observability — before the first production workload lands, then scale it to sportsbook peak traffic for millions of players. The platform must hold under live-betting spikes, strict uptime expectations for a money-moving system, and gaming-regulator audit and compliance requirements. Hands-on technical leader: writes infrastructure code daily, sets platform standards, and is the technical authority on how software is built, shipped and operated.

What you will do

• Design the AWS foundation from scratch: multi-account architecture (AWS Organizations), landing zone, VPC and networking, IAM strategy, cost governance
• Build and operate the container platform — Amazon EKS, service mesh, autoscaling tuned for spiky sportsbook load, multi-AZ (and where justified multi-region) resilience
• Define everything as code: Terraform for all infrastructure, GitOps delivery (Argo CD or similar), paved-road CI/CD pipelines so product teams ship safely and often
• Establish the observability stack — metrics, logging, tracing, alerting (Prometheus/Grafana, OpenTelemetry, CloudWatch) — and drive an SLO-based reliability practice with error budgets
• Own production readiness: incident response, on-call design, runbooks, chaos/load testing ahead of major sporting events, blameless postmortems
• Build the infrastructure side of the migration off the current third-party platform: dual-running environments, data migration pipelines, cutover mechanics
• Embed compliance into the platform: audit trails, environment segregation, backup/DR, controls that satisfy gaming regulators by construction
• Partner with the AI coding platform team: provision and operate the infrastructure behind AI-assisted development, and bring AI tooling into DevOps workflows
• Mentor engineers across teams on cloud-native and operational best practices; set organization-wide standards

Must have

• 10+ years of DevOps / platform / infrastructure engineering, including 3+ years at staff/principal level with organization-wide influence
• Deep hands-on AWS: EKS, EC2, RDS/Aurora, networking (VPC, Transit Gateway, Route 53), IAM at scale, multi-account architectures (AWS certifications such as SA Professional / DevOps Professional are a plus)
• Expert-level infrastructure as code with Terraform
• Strong Kubernetes operational depth: day-2 operations, upgrades, capacity, cost
• Track record of building CI/CD and developer platforms engineering teams adopted willingly — golden paths, not gatekeeping
• Observability and SLO/error-budget practice (Prometheus/Grafana, OpenTelemetry, CloudWatch)
• Experience operating high-availability, high-throughput production systems with real traffic spikes, with documented playbooks from real incidents
• Strong scripting/programming (Python, Go or Bash) and comfort reading application code
• Experience designing backup, disaster recovery and business continuity for systems where data loss is not an option
• Excellent written and spoken English; communicates platform decisions clearly to engineers and executives

Nice to have

• Hands-on use of AI coding tools (Claude Code, Codex) for infrastructure, pipelines and ops automation — a significant plus
• Security engineering: cloud security posture management, secrets management (e.g. Vault), vulnerability management, SAST/DAST/SCA in CI/CD, ISO 27001 / SOC 2 / PCI DSS
• iGaming, sports betting, fintech or another regulated, high-transaction-volume domain
• Migration off a third-party vendor platform
• Event-streaming infrastructure (Kafka/MSK) and database operations at scale
• Polish and/or Spanish

What you'll be doing

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.

Must-have

• Senior: 5+ years in data engineering, with real ownership of a large-scale data lake or lakehouse.
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.
• Python and an orchestrator — Airflow or Dagster, as tools.

Location & work model

Kraków, Poland. Hybrid — 2 days per week from the office.

We are seeking a results-driven UX Designer to own the end-to-end user experience of our AI-powered video intelligence platform. This role sits at the intersection of Product, Engineering, and AI. You will translate complex computer vision capabilities into intuitive, high-performance workflows used by security operators and enterprise teams worldwide.

This is not a surface-level UI role. You will shape product strategy, define interaction models, build scalable design systems, and ensure that advanced AI capabilities feel simple, usable, and powerful.

Responsibilities

• Own the full UX lifecycle — from discovery and concept development through wireframes, high-fidelity designs, prototyping, and engineering handoff across web and mobile platforms
• Design intuitive, user-centered experiences that simplify complex AI-driven security workflows and enterprise systems
• Define information architecture for data-rich, analytics-heavy products to ensure clarity, scalability, and performance
• Lead structured user research initiatives, including field studies, stakeholder interviews, usability testing, and behavioral analysis
• Validate concepts through rapid prototyping, usability testing, and iterative experimentation
• Build and evolve Lumana’s cross-platform design system, ensuring consistency, scalability, and engineering alignment
• Leverage UX analytics and product data to drive continuous improvements in usability, adoption, and workflow efficiency
• Collaborate cross-functionally with Engineering, Product, and Leadership to ensure design quality and scalable implementation
• Align UX strategy with product roadmap priorities, contributing to long-term platform vision
• Present and defend design decisions using research, data, and principled thinking
• Other duties may be assigned

Must Have

• Bachelor’s degree in Design, Human-Computer Interaction, Engineering, or a related field
• 3+ years of experience in UX/UI design for complex B2B, enterprise, or data-heavy platforms
• Strong portfolio demonstrating end-to-end UX work across research, interaction design, and high-fidelity execution
• Proven experience designing complex systems, dashboards, or analytics-driven applications
• Advanced proficiency in Figma and modern design systems
• Experience leading user research initiatives and translating insights into shipped product improvements
• Strong communication skills, with the ability to clearly articulate design decisions to technical and non-technical stakeholders

Experience collaborating closely with Engineering teams in fast-paced product environments

Responsibilities

• Build and execute the regional go-to-market strategy, including target accounts, market segmentation, competitive positioning, partnerships, and sales priorities.
• Own regional revenue targets and take full responsibility for market growth.
• Own the full enterprise sales cycle for strategic accounts, from prospecting and first meetings through negotiation and signed contracts.
• Proactively identify and bring in new customers across banks, brokerages, asset managers, wealth platforms, and other financial institutions.
• Build sales processes, market-entry strategies, and commercial activities from scratch when entering or developing a new region.
• Develop and manage local partnerships that support pipeline generation, market credibility, and business development.
• Build strong relationships with senior stakeholders and decision-makers across financial institutions.
• Represent BridgeWise in meetings with senior executives, commercial stakeholders, and technology teams.
• Understand customer needs and communicate BridgeWise’s offering within the context of capital markets, financial data, APIs, iframe integrations, and B2B technology solutions.
• Work closely with Product, Customer Success, Marketing, Partnerships, and other internal teams to move opportunities forward and support customers.
• Take ownership of opportunities and business needs even when they fall outside the traditional scope of the role.
• Hire, coach, and manage regional sales talent as the market grows.
• Build and maintain an active network of relevant contacts within the region.
• Provide regular reporting on pipeline, forecasts, market developments, competitive activity, and overall regional progress to global leadership.

Requirements

• 7+ years of experience in enterprise, institutional, or B2B sales, ideally within Fintech, Capital Markets, Financial Data, WealthTech, or B2B SaaS.
• Proven track record of closing complex, high-value B2B deals.
• Experience selling to or working with banks, brokerages, asset managers, wealth platforms, or other financial institutions.
• Strong understanding of the capital markets ecosystem and the ability to communicate comfortably using relevant financial and technical terminology.
• Ability to understand and discuss technology concepts relevant to the sales process, including APIs, iframe integrations, data platforms, and B2B software integrations.
• Strong understanding of markets, customer structures, buying processes, and commercial decision-making.
• Existing network of relevant contacts within the target region.
• Proven ability to build sales processes, pipelines, partnerships, and market presence from scratch.
• Entrepreneurial mindset with a strong ability to identify opportunities and turn them into commercial results.
• Highly autonomous and comfortable operating with significant ownership in a fast-moving startup environment.
• Willingness to take initiative and handle responsibilities outside the strict boundaries of the role when needed.
• Excellent communication, negotiation, and relationship-building skills.
• Excellent English, with the ability to lead high-level business conversations and negotiations.
• Fluent in the primary language of the relevant region.

We are looking for an Application Security Research Engineer . In this role, you will work with a team of researchers and ethical hackers focused on offensive security testing, automated exploit discovery, and advanced application security research. Your work will directly influence the security posture of company products and help scale secure-by-design principles. This is a hands-on technical role with a strong emphasis on offensive security, code exploitation, automation, and innovation.
 

Responsibilities:

• Help to reshape the company's Product Security
• Plan and execute advanced penetration testing campaigns.
• Develop tools and frameworks for scalable security testing and fuzzing.
• Lead Security innovation by building and managing penetration testing tools \ AI Agents
• Analyze vulnerabilities, perform root cause analysis, and develop proofs of concept.
• Identify systemic product weaknesses and help define long-term mitigations.
• Collaborate with engineering teams to reproduce, triage, and fix vulnerabilities.
• Contribute to security research publications, CVE submissions, and industry knowledge sharing.
• Continuously evolve internal testing capabilities using modern tooling and AI-assisted approaches.

Requirements:

• 5+ years of experience in Research and penetration testing.
• Strong coding skills and deep technical understanding of web, API, cloud-native, and backend technologies.
• AI and LLM Penetration testing knowledge and Experience
• Experience with penetration testing tools (Burp Suite, Metasploit, etc.) and custom security tool development.
• Familiarity with modern architectures (e.g., Cloud, microservices, containers, Kubernetes).
• Familiarity with secure software architecture and typical attack vectors.
• Demonstrated ability to lead security testing engagements and report technical findings effectively.
• Experience building or integrating automated PT or fuzzing pipelines is a strong advantage.
• Knowledge and hands-on experience with SSDLC tools and CI/CD pipelines,
• Publications or open-source contributions in the security domain are a plus.

Full-time, long-term position. The role is remote for the first 3–4 months, after which it becomes hybrid, with 2–3 days per week in the office, under a B2B contract.
The office is located in Barcelona. We will organize the relocation, but any additional relocation-related expenses will need to be covered by you.

You must already have the legal right to work in Europe, so there are no issues with working from Barcelona. We do not provide visa sponsorship, but we can assist with information or guidance if needed.